IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i7p1395-d155855.html
   My bibliography  Save this article

Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago

Author

Listed:
  • Stephanie L. Mayne

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Angelina Jose

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Allison Mo

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Lynn Vo

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Simona Rachapalli

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Hussain Ali

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Julia Davis

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Kiarri N. Kershaw

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

Abstract

Neighborhood psychosocial stressors like crime and physical disorder may influence obesity-related outcomes through chronic stress or through adverse effects on health behaviors. Google Street View imagery provides a low-cost, reliable method for auditing neighborhood physical disorder, but few studies have examined associations of Street View-derived physical disorder scores with health outcomes. We used Google Street View to audit measures of physical disorder for residential census blocks from 225 women aged 18–44 enrolled from 4 Chicago neighborhoods. Latent neighborhood physical disorder scores were estimated using an item response theory model and aggregated to the block group level. Block-group level physical disorder scores and rates of police-recorded crime and 311 calls for service requests were linked to participants based on home addresses. Associations were estimated for 6 obesity-related outcomes: body mass index, obesity, total moderate-to-vigorous physical activity, and weekly consumption of sugar-sweetened beverages, fast food, and snacks. Hierarchical regression models estimated cross-sectional associations adjusting for individual sociodemographics and neighborhood poverty. Higher neighborhood physical disorder was associated with greater odds of obesity (OR: 1.43, 95% CI: 1.01, 2.02). Living in a neighborhood with a higher crime rate was associated with an increase in weekly snack consumption of 3.06 (95% CI: 1.59, 4.54).

Suggested Citation

  • Stephanie L. Mayne & Angelina Jose & Allison Mo & Lynn Vo & Simona Rachapalli & Hussain Ali & Julia Davis & Kiarri N. Kershaw, 2018. "Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago," IJERPH, MDPI, vol. 15(7), pages 1-12, July.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1395-:d:155855
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/7/1395/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/7/1395/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fish, J.S. & Ettner, S. & Ang, A. & Brown, A.F., 2010. "Association of perceived neighborhood safety on body mass index," American Journal of Public Health, American Public Health Association, vol. 100(11), pages 2296-2303.
    2. Bell, J.A. & Hamer, M. & Shankar, A., 2014. "Gender-specific associations of objective and perceived neighborhood characteristics with body mass index and waist circumference among older adults in the English Longitudinal Study of Ageing," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1279-1286.
    3. Michael Eichinger & Sylvia Titze & Bernd Haditsch & Thomas E Dorner & Willibald J Stronegger, 2015. "How Are Physical Activity Behaviors and Cardiovascular Risk Factors Associated with Characteristics of the Built and Social Residential Environment?," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-15, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaohe Yue & Anne Antonietti & Mitra Alirezaei & Tolga Tasdizen & Dapeng Li & Leah Nguyen & Heran Mane & Abby Sun & Ming Hu & Ross T. Whitaker & Quynh C. Nguyen, 2022. "Using Convolutional Neural Networks to Derive Neighborhood Built Environments from Google Street View Images and Examine Their Associations with Health Outcomes," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    2. Yinhua Tao & Jie Yang & Yanwei Chai, 2019. "The Anatomy of Health-Supportive Neighborhoods: A Multilevel Analysis of Built Environment, Perceived Disorder, Social Interaction and Mental Health in Beijing," IJERPH, MDPI, vol. 17(1), pages 1-19, December.
    3. Thu T. Nguyen & Quynh C. Nguyen & Anna D. Rubinsky & Tolga Tasdizen & Amir Hossein Nazem Deligani & Pallavi Dwivedi & Ross Whitaker & Jessica D. Fields & Mindy C. DeRouen & Heran Mane & Courtney R. Ly, 2021. "Google Street View-Derived Neighborhood Characteristics in California Associated with Coronary Heart Disease, Hypertension, Diabetes," IJERPH, MDPI, vol. 18(19), pages 1-13, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Regina Grazuleviciene & Sandra Andrusaityte & Aurimas Rapalavicius, 2021. "Measuring the Outcomes of a Participatory Research Study: Findings from an Environmental Epidemiological Study in Kaunas City," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    2. Mi Namgung & B. Elizabeth Mercado Gonzalez & Seungwoo Park, 2019. "The Role of Built Environment on Health of Older Adults in Korea: Obesity and Gender Differences," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    3. Hooper, Alison & Hustedt, Jason T. & Slicker, Gerilyn & Hallam, Rena A. & Gaviria-Loaiza, Juana & Vu, Jennifer A. & Han, Myae, 2022. "Area Deprivation Index as a predictor of economic risk and social and neighborhood perceptions among families enrolled in Early Head Start," Children and Youth Services Review, Elsevier, vol. 137(C).
    4. Kimbro, Rachel Tolbert & Denney, Justin T., 2013. "Neighborhood context and racial/ethnic differences in young children's obesity: Structural barriers to interventions," Social Science & Medicine, Elsevier, vol. 95(C), pages 97-105.
    5. Tashi Dendup & Xiaoqi Feng & Stephanie Clingan & Thomas Astell-Burt, 2018. "Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review," IJERPH, MDPI, vol. 15(1), pages 1-25, January.
    6. Boulange, Claire & Pettit, Chris & Gunn, Lucy Dubrelle & Giles-Corti, Billie & Badland, Hannah, 2018. "Improving planning analysis and decision making: The development and application of a Walkability Planning Support System," Journal of Transport Geography, Elsevier, vol. 69(C), pages 129-137.
    7. Okunade, Albert & Osmani, Ahmad Reshad & Ayangbayi, Toluwalope & Okunade, Adeyinka Kevin, 2021. "Children’s Health Capital Investment: Effects of U.S. Infant Breastfeeding on Teenage Obesity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(4), pages 1-15.
    8. O'Brien, Daniel T. & Farrell, Chelsea & Welsh, Brandon C., 2019. "Broken (windows) theory: A meta-analysis of the evidence for the pathways from neighborhood disorder to resident health outcomes and behaviors," Social Science & Medicine, Elsevier, vol. 228(C), pages 272-292.
    9. Agne Prochorskaite & Chris Couch & Naglis Malys & Vida Maliene, 2016. "Housing Stakeholder Preferences for the “Soft” Features of Sustainable and Healthy Housing Design in the UK," IJERPH, MDPI, vol. 13(1), pages 1-15, January.
    10. Kathleen L. Wolf & Sharon T. Lam & Jennifer K. McKeen & Gregory R.A. Richardson & Matilda van den Bosch & Adrina C. Bardekjian, 2020. "Urban Trees and Human Health: A Scoping Review," IJERPH, MDPI, vol. 17(12), pages 1-30, June.
    11. Kim, Daniel & Baum, Christopher F. & Ganz, Michael L. & Subramanian, S.V. & Kawachi, Ichiro, 2011. "The contextual effects of social capital on health: A cross-national instrumental variable analysis," Social Science & Medicine, Elsevier, vol. 73(12), pages 1689-1697.
    12. Sofie Compernolle & Cedric Busschaert & Ilse De Bourdeaudhuij & Greet Cardon & Sebastien F. M. Chastin & Jelle Van Cauwenberg & Katrien De Cocker, 2017. "Cross-Sectional Associations between Home Environmental Factors and Domain-Specific Sedentary Behaviors in Adults: The Moderating Role of Socio-Demographic Variables and BMI," IJERPH, MDPI, vol. 14(11), pages 1-12, October.
    13. Zhonghui Zheng & Ping Zhang & Fangzheng Yuan & Yunque Bo, 2022. "Scientometric Analysis of The Relationship between a Built Environment and Cardiovascular Disease," IJERPH, MDPI, vol. 19(9), pages 1-18, May.
    14. Diaz Serrano, Lluís & Stoyanova, Alexandrina Petrova, 2020. "Is there a Link between BMI and Adolescents’ Educational Choices and Expectations?," Working Papers 2072/417676, Universitat Rovira i Virgili, Department of Economics.
    15. Diaz-Serrano, Luis & Stoyanova, Alexandrina P., 2020. "Is There a Link between BMI and Adolescents' Educational Choices and Expectations?," IZA Discussion Papers 13685, Institute of Labor Economics (IZA).
    16. Piccolo, Rebecca S. & Duncan, Dustin T. & Pearce, Neil & McKinlay, John B., 2015. "The role of neighborhood characteristics in racial/ethnic disparities in type 2 diabetes: Results from the Boston Area Community Health (BACH) Survey," Social Science & Medicine, Elsevier, vol. 130(C), pages 79-90.
    17. Regina Grazuleviciene & Sandra Andrusaityte & Tomas Gražulevičius & Audrius Dėdelė, 2020. "Neighborhood Social and Built Environment and Disparities in the Risk of Hypertension: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
    18. Regina Gražulevičienė & Sandra Andrušaitytė & Audrius Dėdelė & Tomas Gražulevičius & Leonas Valius & Violeta Kapustinskienė & Inga Bendokienė, 2020. "Environmental Quality Perceptions and Health: A Cross-Sectional Study of Citizens of Kaunas, Lithuania," IJERPH, MDPI, vol. 17(12), pages 1-14, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1395-:d:155855. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.